Researcher biography

A/Prof. Hongzhi Yin works as an ARC Future Fellow, associate professor, and director of the Responsible Big Data Intelligence Lab (RBDI) at The University of Queensland, Australia. He has made notable contributions to predictive analytics, recommendation systems, graph learning, social media analytics, and decentralized and edge intelligence. He has received numerous awards and recognition for his research achievements. He has been named to IEEE Computer Society's AI's 10 to Watch 2022 (only four recipients from Australia in the past two decades) and Field Leader of Data Mining & Analysis in The Australian's Research 2020 magazine. In addition, he has received the prestigious Australian Research Council Future Fellowship 2021, the Discovery Early Career Researcher Award 2016, Rising Star of Science Award 2022, AI 2000 Most Influential Scholar Honorable Mention in Data Mining (2023 and 2022; the only recipient from Australia). He was featured among World's Top 2% Scientists Lists (Career Impact) published by Stanford University (2022 and 2021). He has published 240+ papers with H-index of 58, including 140+ CCF A and 70+ CCF B, 140+ CORE A* and 70+ CORE A, such as KDD, SIGIR, WWW, WSDM, SIGMOD, VLDB, ICDE, AAAI, IJCAI, ACM Multimedia, ECCV, IEEE TKDE, TNNL, VLDB Journal, and ACM TOIS. He has been the leading author (first/co-first author or corresponding author) for 180+ of them. His research has won 8 international and national Best Paper Awards, including Best Paper Award - Honorable Mention at WSDM 2023, Best Paper Award at ICDE 2019, Best Student Paper Award at DASFAA 2020, Best Paper Award Nomination at ICDM 2018, ACM Computing Reviews' 21 Annual Best of Computing Notable Books and Articles, Best Paper Award at ADC 2018 and 2016, and Peking University Distinguished Ph.D. Dissertation Award 2014. He has received many competitive research grants, including ARC Future Fellowship 2022, ARC Discovery Early Career Researcher Award (DECRA) 2016, ARC Discovery Projects 2019 (Sole CI) and 2017, ARC Linkage Infrastructure, Equipment and Facilities 2022, ARC Industrial Transformation Training Centres 2021, UQ Foundation Research Excellence Award 2019 as the first winner of this award in School of ITEE since the establishment of this award 20 years ago. He has been an SPC/PC member for many top conferences, such as AAAI, IJCAI, KDD, ICML, ICLR, NeurIPS, SIGIR, WWW, WSDM, VLDB, ICDE, ICDM, and CIKM. He is currently serving as Associate Editor/Guest Editor/Editorial Board for ACM Transactions on Information Systems (TOIS), ACM Transactions on Intelligent Systems and Technology (TIST), Information Systems, and World Wide Web, Journal of Computer Science and Technology (JCST), Big Data Networks (specialty section of Frontiers in ICT, Frontiers in Digital Humanities, Frontiers in Big Data and Frontiers in Computer Science), Springer Nature Computer Science, Information, and International Journal of Software and Informatics (IJSI). Dr. Yin has also been attracting wide media coverage, such as The Australian, SBS, UQ News, Faculty News of EAIT, ACM Computing Reviews.

Dr. Hongzhi Yin is looking for highly motivated and high-quality Ph.D. students. The University of Queensland ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 47 in the QS World University Rankings, 52 in the US News Best Global Universities Rankings, 60 in the Times Higher Education World University Rankings, and 55 in the Academic Ranking of World Universities.

Latest News

  1. [2 March 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has won "Best Paper Award - Honorable Mention" at WSDM 2023.

  2. [1 March 2023] We organize a special issue on Graph Representation Learning for Feature Extraction and Signal Processing in CAAI Transactions on Intelligence Technology (JCR Q1), calling for papers.

  3. [18 Feb 2023] Our research work "Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation" was accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2023 (CORE A* and Q1). Congratulations to Guanhua.

  4. [15 Feb 2023] Our research work "Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution" was accepted by TKDE 2023 (CORE A* and CCF A).

  5. [27 January 2023] I was invited to join the Doctoral Consortium Committee of WSDM 2023 as a Mentor.

  6. [26 January 2023] We have 2 research papers accepted by The Web Conference 2023 (CCF A and CORE A*). Congratulations to the first authors Wei Yuan and Liang Qu.

  7. [9 January 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has been shortlisted for the Best Paper Award (BPA) for WSDM 2023, and there are only four BPA candidate papers.

  8. [6 January 2023] Our research paper "Efficient On-Device Session-Based Recommendation" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  9. [3 January 2023] Our social computing work "Self-supervised Hypergraph Representation Learning for Sociological Analysis" was accepted by the top journal TKDE (CORE A* and CCF A).

  10. [30 December 2022] Our survey paper "AutoML for Deep Recommender Systems: A Survey" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  11. [23 December 2022] I was invited to serve as PC for the top conference SIGIR 2023, KDD 2023, and IJCAI 2023.

  12. [30 November 2022] I was awarded Faculty Teaching and Learning Awards (EAIT Citation for Excellence in Student Learning).

  13. [22 November 2022] I was invited to serve as a senior PC (meta reviewer) for the top conference PAKDD2023 (CORE A).

  14. [15 November 2022] I have been recognized with the 2022 Rising Star of Science Award and ranked 28 in Australia on

  15. [13 November 2022] I was invited to serve as a senior PC (meta reviewer) and proceeding chair for DASFAA 2023 (CCF B).

  16. [11 November 2022] Our group's github has been launched

  17. [1 November 2022] Our research paper "Structure Learning via Meta-Hyperedge for Dynamic Rumor Detection" was accepted by the top journal TKDE (CORE A* and CCF A).

  18. [18 October 2022] We have 4 joint research papers (collaborated with Alibaba, Tencent, Microsoft Research Asia, Beijing University of Posts and Telecommunications, UTS) accepted by the top conference WSDM 2022 (CORE A*).

  19. [14 October 2022] I was shortlisted for the 2022 University of Queensland Citations for Outstanding Contributions to Student Learning.

  20. [10 October 2022] I was invited to serve as an area chair in the Industry and Application Track program committee for ICDE 2023 (CORE A* and CCF A).

  21. [1 October 2022] I was invited to deliver a keynote at The 9th International Conference on Behavioral and Social Computing (BESC 2022).

  22. [6 September 2022] I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 Social Media Analytics.

  23. [1 September 2022] We have two research papers on knowledge graph reasoning accepted by ICDE 2023 (CCF A, CORE A*) and one research paper on sequential recommendation systems accepted by ICDM 2022 (CCF B, CORE A).

Featured projects Duration
Big-data analysis
Low energy mobile devices